The cardiovascular system: mathematical modelling, numerical algorithms and clinical applications

A Quarteroni, A Manzoni, C Vergara - Acta Numerica, 2017 - cambridge.org
Mathematical and numerical modelling of the cardiovascular system is a research topic that
has attracted remarkable interest from the mathematical community because of its intrinsic …

[PDF][PDF] Fast numerical methods for stochastic computations: a review

D Xiu - Communications in computational physics, 2009 - ece.uvic.ca
This paper presents a review of the current state-of-the-art of numerical methods for
stochastic computations. The focus is on efficient high-order methods suitable for practical …

[图书][B] Mathematical modelling of the human cardiovascular system: data, numerical approximation, clinical applications

A Quarteroni, A Manzoni, C Vergara - 2019 - books.google.com
Mathematical and numerical modelling of the human cardiovascular system has attracted
remarkable research interest due to its intrinsic mathematical difficulty and the increasing …

Geometric multiscale modeling of the cardiovascular system, between theory and practice

A Quarteroni, A Veneziani, C Vergara - Computer Methods in Applied …, 2016 - Elsevier
This review paper addresses the so called geometric multiscale approach for the numerical
simulation of blood flow problems, from its origin (that we can collocate in the second half …

A guide to uncertainty quantification and sensitivity analysis for cardiovascular applications

VG Eck, WP Donders, J Sturdy… - … journal for numerical …, 2016 - Wiley Online Library
As we shift from population‐based medicine towards a more precise patient‐specific regime
guided by predictions of verified and well‐established cardiovascular models, an urgent …

Modeling blood flow circulation in intracranial arterial networks: a comparative 3D/1D simulation study

L Grinberg, E Cheever, T Anor, JR Madsen… - Annals of biomedical …, 2011 - Springer
We compare results from numerical simulations of pulsatile blood flow in two patient-specific
intracranial arterial networks using one-dimensional (1D) and three-dimensional (3D) …

Uncertainty and variability in computational and mathematical models of cardiac physiology

GR Mirams, P Pathmanathan, RA Gray… - The Journal of …, 2016 - Wiley Online Library
Key points Mathematical and computational models of cardiac physiology have been an
integral component of cardiac electrophysiology since its inception, and are collectively …

Verification of cardiac mechanics software: benchmark problems and solutions for testing active and passive material behaviour

S Land, V Gurev, S Arens… - … of the Royal …, 2015 - royalsocietypublishing.org
Models of cardiac mechanics are increasingly used to investigate cardiac physiology. These
models are characterized by a high level of complexity, including the particular anisotropic …

Towards efficient uncertainty quantification in complex and large-scale biomechanical problems based on a Bayesian multi-fidelity scheme

J Biehler, MW Gee, WA Wall - Biomechanics and modeling in …, 2015 - Springer
In simulation of cardiovascular processes and diseases patient-specific model parameters,
such as constitutive properties, are usually not easy to obtain. Instead of using population …

Simulation‐based uncertainty quantification of human arterial network hemodynamics

P Chen, A Quarteroni, G Rozza - International journal for …, 2013 - Wiley Online Library
This work aims at identifying and quantifying uncertainties from various sources in human
cardiovascular system based on stochastic simulation of a one‐dimensional arterial …